Information from Structure: A Sketch of Neuroanatomy View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1995

AUTHORS

Valentino Braitenberg

ABSTRACT

SynopsisAfter the discovery of electrical phenomena in brains, which suggested recording with electrodes as the obvious approach to the problem of cerebral function, the field of neuroanatomy underwent a long period of stagnation. It is now once more an important source of information, which model makers are tapping abundantly (those who are not would be well advised to consider doing so).I will sketch a short overview of the main trends in neuroanatomy, past and present, and then try to establish something like a method for us to follow when translating the information on the structure of a brain into statements about its operation. More... »

PAGES

115-128

Book

TITLE

Models of Neural Networks I

ISBN

978-3-642-79816-0
978-3-642-79814-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-79814-6_2

DOI

http://dx.doi.org/10.1007/978-3-642-79814-6_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024940353


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Braitenberg", 
        "givenName": "Valentino", 
        "id": "sg:person.012515726701.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515726701.58"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1995", 
    "datePublishedReg": "1995-01-01", 
    "description": "SynopsisAfter the discovery of electrical phenomena in brains, which suggested recording with electrodes as the obvious approach to the problem of cerebral function, the field of neuroanatomy underwent a long period of stagnation. It is now once more an important source of information, which model makers are tapping abundantly (those who are not would be well advised to consider doing so).I will sketch a short overview of the main trends in neuroanatomy, past and present, and then try to establish something like a method for us to follow when translating the information on the structure of a brain into statements about its operation.", 
    "editor": [
      {
        "familyName": "Domany", 
        "givenName": "Eytan", 
        "type": "Person"
      }, 
      {
        "familyName": "van Hemmen", 
        "givenName": "J. Leo", 
        "type": "Person"
      }, 
      {
        "familyName": "Schulten", 
        "givenName": "Klaus", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-79814-6_2", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-79816-0", 
        "978-3-642-79814-6"
      ], 
      "name": "Models of Neural Networks I", 
      "type": "Book"
    }, 
    "keywords": [
      "cerebral function", 
      "neuroanatomy", 
      "brain", 
      "field of neuroanatomy", 
      "long period", 
      "recordings", 
      "period", 
      "important source", 
      "information", 
      "model makers", 
      "function", 
      "discovery", 
      "electrical phenomena", 
      "overview", 
      "trends", 
      "statements", 
      "short overview", 
      "method", 
      "operation", 
      "approach", 
      "SynopsisAfter", 
      "makers", 
      "obvious approach", 
      "source", 
      "phenomenon", 
      "problem", 
      "stagnation", 
      "structure", 
      "electrode", 
      "field", 
      "main trends", 
      "sketch"
    ], 
    "name": "Information from Structure: A Sketch of Neuroanatomy", 
    "pagination": "115-128", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024940353"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-79814-6_2"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-79814-6_2", 
      "https://app.dimensions.ai/details/publication/pub.1024940353"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-08-04T17:15", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/chapter/chapter_173.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-79814-6_2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79814-6_2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79814-6_2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79814-6_2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79814-6_2'


 

This table displays all metadata directly associated to this object as RDF triples.

97 TRIPLES      22 PREDICATES      57 URIs      50 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-79814-6_2 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author N8756db27ea6241c195aa4a09e1134b68
4 schema:datePublished 1995
5 schema:datePublishedReg 1995-01-01
6 schema:description SynopsisAfter the discovery of electrical phenomena in brains, which suggested recording with electrodes as the obvious approach to the problem of cerebral function, the field of neuroanatomy underwent a long period of stagnation. It is now once more an important source of information, which model makers are tapping abundantly (those who are not would be well advised to consider doing so).I will sketch a short overview of the main trends in neuroanatomy, past and present, and then try to establish something like a method for us to follow when translating the information on the structure of a brain into statements about its operation.
7 schema:editor N1b2b50f490a949d793e4dfe37b4d7ab9
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf Ne9e7ed2c40b84feb9bfbfc607752d1cb
11 schema:keywords SynopsisAfter
12 approach
13 brain
14 cerebral function
15 discovery
16 electrical phenomena
17 electrode
18 field
19 field of neuroanatomy
20 function
21 important source
22 information
23 long period
24 main trends
25 makers
26 method
27 model makers
28 neuroanatomy
29 obvious approach
30 operation
31 overview
32 period
33 phenomenon
34 problem
35 recordings
36 short overview
37 sketch
38 source
39 stagnation
40 statements
41 structure
42 trends
43 schema:name Information from Structure: A Sketch of Neuroanatomy
44 schema:pagination 115-128
45 schema:productId N59e6c3424d13415883f61477ce43edfa
46 Nfcef36dfcf3349f0a0b2606ac87e5d39
47 schema:publisher N0aeac3f6cfe2475bbf6347fe88f84728
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024940353
49 https://doi.org/10.1007/978-3-642-79814-6_2
50 schema:sdDatePublished 2022-08-04T17:15
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher Nc0ef3e481653407fa55eabb9eff3069e
53 schema:url https://doi.org/10.1007/978-3-642-79814-6_2
54 sgo:license sg:explorer/license/
55 sgo:sdDataset chapters
56 rdf:type schema:Chapter
57 N0aeac3f6cfe2475bbf6347fe88f84728 schema:name Springer Nature
58 rdf:type schema:Organisation
59 N1b2b50f490a949d793e4dfe37b4d7ab9 rdf:first Ncdb9f04c90654402996ec38dced7505c
60 rdf:rest N84d0aad2fae546999e6314de36955c15
61 N59e6c3424d13415883f61477ce43edfa schema:name doi
62 schema:value 10.1007/978-3-642-79814-6_2
63 rdf:type schema:PropertyValue
64 N84d0aad2fae546999e6314de36955c15 rdf:first Nf799f1c7bfe541e2843035efbeb6649c
65 rdf:rest Nd4805fd508894452a2f7bcbca3529066
66 N8756db27ea6241c195aa4a09e1134b68 rdf:first sg:person.012515726701.58
67 rdf:rest rdf:nil
68 Nc0ef3e481653407fa55eabb9eff3069e schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Ncdb9f04c90654402996ec38dced7505c schema:familyName Domany
71 schema:givenName Eytan
72 rdf:type schema:Person
73 Nd4805fd508894452a2f7bcbca3529066 rdf:first Nedcb8ddf49dc4eeb9f26ab047d995135
74 rdf:rest rdf:nil
75 Ne9e7ed2c40b84feb9bfbfc607752d1cb schema:isbn 978-3-642-79814-6
76 978-3-642-79816-0
77 schema:name Models of Neural Networks I
78 rdf:type schema:Book
79 Nedcb8ddf49dc4eeb9f26ab047d995135 schema:familyName Schulten
80 schema:givenName Klaus
81 rdf:type schema:Person
82 Nf799f1c7bfe541e2843035efbeb6649c schema:familyName van Hemmen
83 schema:givenName J. Leo
84 rdf:type schema:Person
85 Nfcef36dfcf3349f0a0b2606ac87e5d39 schema:name dimensions_id
86 schema:value pub.1024940353
87 rdf:type schema:PropertyValue
88 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
89 schema:name Medical and Health Sciences
90 rdf:type schema:DefinedTerm
91 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
92 schema:name Neurosciences
93 rdf:type schema:DefinedTerm
94 sg:person.012515726701.58 schema:familyName Braitenberg
95 schema:givenName Valentino
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515726701.58
97 rdf:type schema:Person
 




Preview window. Press ESC to close (or click here)


...